Momin M. Malik, PHDcritical computational methodology • data science & society • network modeling

momin.malik@gmail.comhttps://mominmalik.com+1.617.817.8536

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STATEMENT OF PURPOSEI bring statistics and machine learning together with critical perspectives from social science to consider when, how, and why data and model-ing succeed in their aims—and when, how, and why they can fail. I am passionate about improving practice towards more responsible, robust, effective, and just uses of data and modeling, as well as engaging in outreach to help practitioners in policy, government, law, journalism, social science, business, civil society, and elsewhere understand and adopt machine learning and data science.

EDUCATIONSchool of Computer Science, Carnegie Mellon University, Aug 2013–Aug 2018PhD in Societal Computing (Institute for Software Research) and MS in Machine Learning (Machine Learning Department). Research on social media and sensor data. ARCS Foundation award. Dissertation: “Bias and beyond in digital trace data.” Committee: Jürgen Pfeffer and Anind K. Dey (Coadvisors), Cosma R. Shalizi (Department of Statistics), and David Lazer (Northeastern University).

Oxford Internet Institute, University of Oxford, Oct 2011–Sep 2012MSc with distinction in Social Science of the Internet. Master’s thesis on locating the emergence of Internet studies in the 20-year evolution of a large co-authorship network. Advisor: Eric T. Meyer.

Department of the History of Science, Harvard University, Sep 2004–Mar 2009AB cum laude in History and Science with Music minor. Senior thesis on narratives of the early 20th century South Indian mathematician Srinivasa Ramanujan. Advisor: Lukas Rieppel.

WORK AND RESEARCH EXPERIENCEData Science Postdoctoral Fellow, Berkman Klein Center for Internet & Society at Harvard University, Cambridge, MA, Sep 2018–present Statistical learning and network modeling for data in Media Cloud and other projects; technical advising and tutoring for scholars and practitioners in social science, journalism, law, and policy; building in-house data science capacity; forging stronger university-wide ties between social and data science; and research into conceptual, ethical, theoretical, and practical challenges of deploying data science.

Data Science for Social Good Fellow, Lisbon, Portugal, Summer 2017Project for Tuscan agencies applying machine learning and network analysis to urban data for sustainable tourism in Florence. Run by the Center for Data Science and Public Policy, University of Chicago, and Nova School of Business and Economics, Universidade NOVA de Lisboa.

Graduate research assistant, Ubicomp Lab, Pittsburgh, PA, 2016–2018Research under Dr. Anind Dey (Human-Computer Interaction Institute and University of Washington) on mobile phone sensor collection of social network data. Ran 3-month 53-subject study, collecting mobile phone sensor data alongside social network survey responses.

Graduate research assistant, Pfeffer Lab, Pittsburgh, PA, 2013–2018Research under Dr. Jürgen Pfeffer (Institute for Software Research and Technical University of Munich) on biases in social media data (representativeness, data access, effect of platform constraints on behavior), and news media and social media. Use of Twitter 10% sample.

Research assistant, Big Data: A Revolution That Will Transform How We Live, Work, and Think, Oxford, UK, 2011–2012Research for 2013 book by Prof. Viktor Mayer-Schönberger (Oxford Internet Institute) and Kenneth Cukier (The Economist). History of statistics and data management, historical and modern case studies, fact-checking, idea development, and editing draft material.

Research assistant, Berkman Center for Internet & Society at Harvard University, Cambridge, MA, 2009–2011 & 2012–2013Research for Dr. Urs Gasser (Executive Director, Berkman Klein Center) on ‘Youth and Media’ project. Multidisciplinary review of youth information-seeking; policy reports; focus group design; analysis of qualitative data on youth social media usage; theory of ‘news literacy.’

PUBLICATIONS

Momin M. Malik. (in submission, 2020). A hierarchy of limitations in machine learning. Frontiers in Big Data. Preprint at https://arxiv.org/abs/2002.05193.

Kar-Hai Chu, Jason Colditz, Momin M. Malik, Tabitha Yates, and Brian Primack. (2019). Identifying key target audiences for public health campaigns: Leveraging machine learning in the case of hookah tobacco smoking. J. Med. Internet Res., 21 (7), e12443.

Jürgen Pfeffer and Momin M. Malik. (2017). Simulating the dynamics of socio-economic systems. In Betina Hollstein, Wenzel Matiaske, & Kai-Uwe Schnapp (Eds.), Networked governance: New research perspectives, pp. 143–161. Cham, Switzerland: Springer.

Momin M. Malik and Jürgen Pfeffer. (2016). Identifying platform effects in social media data. In Proceedings of the TenthInternational AAAI Conference on Web and Social Media (ICWSM-16), pp. 241-249.

Momin M. Malik and Jürgen Pfeffer. (2016). A macroscopic analysis of news content on Twitter. Digital Journalism, 4 (8), 955-979.

Gabriel Ferreira, Momin Malik, Christian Kästner, Jürgen Pfeffer, and Sven Apel. (2016). Do #ifdefs influence the occurrence of vulnerabilities? An empirical study of the Linux Kernel. In Proc. 20th Int’l Sys. and Software Product Line Conf. (SPLC ’16), pp. 65-73.

kernel/fork.c

PARAVIRT(!X86_PAE PARAVIRT X86_32)X86_PAE PARAVIRT X86_32)

(X86_PAE PARAVIRT X86_32) (!X86_32 PARAVIRT)

Mar

Train

Test

May

AccuracyPrecisionRecall

Training error

Test error

Out-of-sample (true) error

PUBLICATIONS, continued

Kathleen M. Carley, Momin Malik, Peter M. Landwehr, Jürgen Pfeffer, and Michael Kowalchuck. (2016). Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia. Safety Science, 90, 48-61.

Hemank Lamba, Momin M. Malik, and Jürgen Pfeffer. (2015). A tempest in a teacup? Analyzing firestorms on Twitter. In Proc. of the 2015 Conf. on Advances in Social Networks Analysis and Mining (ASONAM 2015), pp. 17-24. Best Student Paper Award.

Momin M. Malik, Hemank Lamba, Constantine Nakos, and Jürgen Pfeffer. (2015). Population bias in geotagged tweets. In Papers from the 2015 ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research (ICWSM-15 SPSM), pp. 18-27.

REPORTS

Io Flament, Cristina Lozano, and Momin M. Malik. (2017). Data-driven planning for sustainable tourism in Tuscany. Cascais, Portugal: Data Science for Social Good Europe.

Momin Malik, Sandra Cortesi, and Urs Gasser. (2013, October 18). The challenges of defining ‘news literacy’. Berkman Center Research Publication No. 2013-20.

Urs Gasser, Sandra Cortesi, Momin Malik, and Ashley Lee. (2012, February 16). Youth and digital media: From credibility to information quality. Berkman Center Research Publication No. 2012-1.

BLOGGING

“Can algorithms themselves be biased?” Medium, Berkman Klein Center Collection. Apr 24, 2019. https://link.medium.com/ULLHZJQL3Y.

TEACHING

“A critical introduction to machine learning.” 2019 ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia 2019). Sep 19, 2019, Marriott Marquis San Diego Marina, San Diego, CA.

“Everything you ever wanted to know about network statistics but were afraid to ask.” 3-hour tutorial. XXXIX Sunbelt Social Networks Conference of the International Network for Social Network Analysis (Sunbelt 2019). Jun 18, 2019, Montreal, Quebec.

Future Faculty Program (completed), Eberly Center for Teaching Excellence and Educational Innovation, Jan 2014 – Mar 2018Enrolled since first year of PhD. Two teaching feedback consultations. Nine seminars on topics like student motivation and engagement, discussion facilitation, lecture design and delivery, course and syllabus design, teaching effectiveness monitoring.

Teaching Assistant, Ethics and Policy Issues in Computing (Instructor: Dr. Jim Herbsleb), Spring 2016Graded weekly response papers and activity on online class forum. Gave a lecture overview of rhetoric and debate in preparation for assigned one-on-one debates. Provided template and gave design tutorial for scientific poster making. Helped students with course projects (scope, references) and posters. Guest lecture: “Ethical and policy issues in predictive modeling.”

Teaching Assistant, Introduction to Network Science (Instructor: Dr. Jürgen Pfeffer), Fall 2015Wrote four comprehensive solution sets to problems from Mark E. J. Newman’s Networks: An Introduction (OUP, 2010). Guest lecture tutorial on R and the igraph library for network analysis. Graded problem sets and tests.

PRESENTATIONS

“Ethics, and the limits of data and modeling” (invited talk). 13th Annual Analytics Day. Apr 24, 2020. Kennesaw State University, Kennesaw, GA.

“Critical technical practice revisited: Towards `analytic actors’ in data science” (invited talk). STS Circle. Mar 5, 2020. Program on Science, Technology & Society, Harvard Kennedy School, Cambridge, MA.

“Revisiting ‘all models are wrong’: Addressing limitations in big data, machine learning, and computational social science” (invited talk). Wednesdays@NICO Seminar Speaker Series. Feb 5, 2020, Northwestern University, Evanston, IL.

“How STS can improve data science” (invited talk). STS Lunch Seminar Series. Jan 27, 2020, Tufts University, Medford, MA.

“A hierarchy of limitations in machine learning” (invited talk). Dec 3, 2019, Microsoft Research New England, Cambridge, MA.

“Statistics and machine learning: Foundations, limitations, and ethics” (invited talk). Colby College Department of Mathematics and Statistics, Colloquium Fall 2019. Oct 7, 2019, Colby College, Waterville, ME.

“Three open problems for historians of AI.” Towards a History of Artificial Intelligence. May 24, 2019, Columbia University, New York, NY.

“Interpretability is a red herring: Grappling with ‘prediction policy problems.’ 17th Annual Information Ethics Roundtable: Justice and Fairness in Data Use and Machine Learning. Apr 5, 2019, Northeastern University, Boston, MA.

Momin M. Malik

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“What can AI do with copyrighted data?” (invited talk). Bracing for Impact – The Artificial Intelligence Challenge: A Roadmap for AI Governance in Canada. Part II: Data, Policy & Innovation. IP Osgoode, Osgoode Hall Law School, York University. Mar 21, 2019, Toronto Reference Library, Toronto, Canada.

“The ethical implications of technical limitations” (invited talk). Fairness, Accountability & Transparency/Asia. Digital Asia Hub and ACM/FAT*. Jan 12, 2019, Shun Hing College, University of Hong Kong, Hong Kong.

“Machine learning for social scientists.” Fairness, Accountability & Transparency/Asia. Digital Asia Hub and ACM/FAT*. Jan 11, 2019, Shun Hing College, University of Hong Kong, Hong Kong.

“’AI’ is a lie: Getting to the real issues.” AGTech Forum, Berkman Klein Center for Internet & Society at Harvard University. Dec 13, 2018, Cambridge, MA.

“Theorizing sensors for social network research.” Computational Social Science Institute, UMass Amherst. Dec 7, 2018, Amherst, MA.

“What everyone needs to know about ‘prediction’ in machine learning.” Leverhulme Centre for the Future of Intelligence, University of Cambridge. Dec 3, 2018, Cambridge, UK.

“Anxiety, crisis, and a computational future for journalism.” Philip Merrill College of Journalism / College of Information Studies, University of Maryland. Nov 27, 2018, College Park, MD.

“Networks, yeah! The representation of relations.” Data & Donuts, digital HKS, Harvard Kennedy School. Nov 2, 2018, Cambridge, MA.

“Demystifying AI: Terms of disservice.” AI Working Group, Berkman Klein Center for Internet & Society. Oct 28, 2018, Cambridge, MA.

“Surprising aspects of ‘prediction’ in data science.” 0213eight, Harvard Alumni Association. Oct 13, 2018, Cambridge, MA.

“From the forest to the swamp: Modeling vs. implementation in data science.” Techtopia @ Harvard University. Oct 2, 2018, Cambridge, MA.

Thesis defense: “Bias and beyond in digital trace data.” Institute for Software Research, School of Computer Science, Carnegie Mellon University. Aug 9, 2018, Pittsburgh, PA.

“Friendship and proximity in a fraternity cohort with mobile phone sensors.” XXXVIII Sunbelt Conference of the International Network for Social Network Analysis. Modeling network dynamics (ses15.05). Jul 1, 2018, Utrecht, Netherlands.

“A critical introduction to statistics and machine learning.” Cascais Data Science for Social Good Europe Fellowship, Nova School of Business and Economics, Universidade NOVA de Lisboa. Aug 15, 2017, Lisbon, Portugal.

“A social scientist’s guide to network statistics.” Guest lecture in 70/73-449: Social, Economic and Information Networks, Fall 2016 (Instructor: Dr. Katharine Anderson). Undergraduate Economics, Carnegie Mellon University. Nov 10, 2016, Pittsburgh, PA.

“Bias busters @ university workshop: A Carnegie Mellon/Google collaboration to address unconscious bias.” With Carol Frieze (Carnegie Mellon University, School of Computer Science), Gerry Katilius (Google Pittsburgh), and Diana Marculescu (Carnegie Mellon University, College of Engineering). 2016 ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia 2016). Sep 15, 2016, Austin, TX.

“Platform effects in social media networks.” 2nd Annual International Conference on Computational Social Science (IC2S2). Social Networks 1. Jun 24, 2016, Evanston, Illinois.

“Bias busting @ university workshop – A Carnegie Mellon/Google collaboration to address unconscious bias.” With Carol Frieze (Carnegie Mellon University, School of Computer Science), Gerry Katilius (Google Pittsburgh), and Diana Marculescu (Carnegie Mellon University, College of Engineering). Women in Engineering ProActive Network Change Leader Forum (WEPAN 2016). Jun 15, 2016, Broomfield, CO.

“Identifying platform effects in social media data.” Tenth International AAAI Conference on Web and Social Media (ICWSM-16). Session I: Biases and Inequalities. May 18, 2016, Cologne, Germany.

“Social media data and computational models of mobility: A review for demography.” 2016 ICWSM Workshop on Social Media and Demographic Research (ICWSM-16 SMDR). May 17, 2016, Cologne, Germany.

“Ethical and policy issues in predictive modeling.” Guest lecture in 08-200/08-630/19-211: Ethics and Policy Issues in Computing, Spring 2016 (Instructor: Dr. James Herbsleb). School of Computer Science, Carnegie Mellon University. Mar 1, 2016, Pittsburgh, PA.

“Platform effects in social media networks.” XXXVI Sunbelt Conference of the International Network for Social Network Analysis. Social Media Networks: Challenges and Solutions (Sunday AM2). Apr 10, 2016, Newport Beach, California.

“Population bias in geotagged tweets.” 2015 ICWSM Workshop on Standards and Practices in Social Media Research (ICWSM-15 SPSM). Ninth International AAAI Conference on Web and Social Media (ICWSM-15). May 26, 2015, Oxford, UK.

“Inferring social networks from sensor data.” XXXIV Sunbelt Conference of the International Network for Social Network Analysis. Network Data Collection (Saturday AM2). Feb 22, 2014, St Pete Beach, Florida.

ORGANIZING

Momin M. Malik, Katja Mayer, Hemank Lamba, and Claudia Müller-Brin (co-organizers). Workshop on critical data science. The 13th International Conference on Web and Social Media (ICWSM-19). Munich, Germany, Jun 11, 2019.

Logistics, communication, materials, and tabling for “Train the Trainer workshop,” by Bias Busters @ Carnegie Mellon University. Google Pittsburgh, Nov 1 – 2, 2016. Pittsburgh, PA.

VOLUNTEERING/COMMUNITY

Facilitator for Bias Busters @ CMU, 2015-2018Part of 3-person teams leading inclusivity programming for student/faculty/staff groups of 20-30. Led by Dr. Carol Frieze (director, SCS4ALL and Women@SCS), and created in collaboration with Google Pittsburgh.

Committee Service

Senior program committee, International Conference on Web and Social Media (ICWSM), 2020 – present.

Sponsorship chair, 14th International AAAI Conference on Web and Social Media (ICWSM-2020). Jun 8 – Jun 11, 2020. Atlanta, GA.

Steering committee, Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles (ABOUT ML). The Partnership on AI (PAI). 2019-2020.

Posters co-chair, 11th International ACM Web Science Conference 2019 (WebSci ’19). Jun 30 – Jul 3, 2019. Boston, MA.

Program committee, International Conference on Web and Social Media (ICWSM), 2018 – 2019.

Program committee, International World Wide Web Conference (WWW/TheWebConf) Web and Society track, 2018 – present.

Program committee, International Conference on Computational Social Science (IC2S2), 2017 – present.

Other participation

Leading thinker session on “Life in the Age of Algorithms.” Harvard Graduate School of Education. Nov 7, 2019, Cambridge, MA. Reported about in: Alison J. Head, Barbara Fister, and Margy MacMillan, (2020, January 15), Information literacy in the age of algorithms: Student experiences with news and information, and the need for change, Project Information Research Institute.

International Expert Workshop on Automated Decision-Making. Center for Information Technology, Society, and Law (ITSL), University of Zurich. Sep 12–14, 2019, Lavin, Switzerland.

Peer Review

Big Data & Society (SAGE Journals), 2020 – present.

Editorial Board member for special issue on “Critical Data and Algorithms Studies.” Frontiers in Big Data, Data Mining and Management (Frontiers Media S.A.), 2019.

Frontiers in Big Data, Data Mining and Management (Frontiers Media S.A.), 2019 – present.

EPJ Data Science (Springer), 2018 – present.

Digital Journalism (Taylor & Francis), 2016 – present.

Journal of Medical Internet Research (JMIR Publications), 2017 – 2018.

LANGUAGES

English. Spoken: Native. Written: Native.Urdu. Spoken: Fluent. Written: Beginner.Japanese. Spoken: Conversational. Written: Beginner.

PUBLICATIONS, continued

Kathleen M. Carley, Momin Malik, Peter M. Landwehr, Jürgen Pfeffer, and Michael Kowalchuck. (2016). Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia. Safety Science, 90, 48-61.

Hemank Lamba, Momin M. Malik, and Jürgen Pfeffer. (2015). A tempest in a teacup? Analyzing firestorms on Twitter. In Proc. of the 2015 Conf. on Advances in Social Networks Analysis and Mining (ASONAM 2015), pp. 17-24. Best Student Paper Award.

Momin M. Malik, Hemank Lamba, Constantine Nakos, and Jürgen Pfeffer. (2015). Population bias in geotagged tweets. In Papers from the 2015 ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research (ICWSM-15 SPSM), pp. 18-27.

REPORTS

Io Flament, Cristina Lozano, and Momin M. Malik. (2017). Data-driven planning for sustainable tourism in Tuscany. Cascais, Portugal: Data Science for Social Good Europe.

Momin Malik, Sandra Cortesi, and Urs Gasser. (2013, October 18). The challenges of defining ‘news literacy’. Berkman Center Research Publication No. 2013-20.

Urs Gasser, Sandra Cortesi, Momin Malik, and Ashley Lee. (2012, February 16). Youth and digital media: From credibility to information quality. Berkman Center Research Publication No. 2012-1.

BLOGGING

“Can algorithms themselves be biased?” Medium, Berkman Klein Center Collection. Apr 24, 2019. https://link.medium.com/ULLHZJQL3Y.

TEACHING

“A critical introduction to machine learning.” 2019 ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia 2019). Sep 19, 2019, Marriott Marquis San Diego Marina, San Diego, CA.

“Everything you ever wanted to know about network statistics but were afraid to ask.” 3-hour tutorial. XXXIX Sunbelt Social Networks Conference of the International Network for Social Network Analysis (Sunbelt 2019). Jun 18, 2019, Montreal, Quebec.

Future Faculty Program (completed), Eberly Center for Teaching Excellence and Educational Innovation, Jan 2014 – Mar 2018Enrolled since first year of PhD. Two teaching feedback consultations. Nine seminars on topics like student motivation and engagement, discussion facilitation, lecture design and delivery, course and syllabus design, teaching effectiveness monitoring.

Teaching Assistant, Ethics and Policy Issues in Computing (Instructor: Dr. Jim Herbsleb), Spring 2016Graded weekly response papers and activity on online class forum. Gave a lecture overview of rhetoric and debate in preparation for assigned one-on-one debates. Provided template and gave design tutorial for scientific poster making. Helped students with course projects (scope, references) and posters. Guest lecture: “Ethical and policy issues in predictive modeling.”

Teaching Assistant, Introduction to Network Science (Instructor: Dr. Jürgen Pfeffer), Fall 2015Wrote four comprehensive solution sets to problems from Mark E. J. Newman’s Networks: An Introduction (OUP, 2010). Guest lecture tutorial on R and the igraph library for network analysis. Graded problem sets and tests.

PRESENTATIONS

“Ethics, and the limits of data and modeling” (invited talk). 13th Annual Analytics Day. Apr 24, 2020. Kennesaw State University, Kennesaw, GA.

“Critical technical practice revisited: Towards `analytic actors’ in data science” (invited talk). STS Circle. Mar 5, 2020. Program on Science, Technology & Society, Harvard Kennedy School, Cambridge, MA.

“Revisiting ‘all models are wrong’: Addressing limitations in big data, machine learning, and computational social science” (invited talk). Wednesdays@NICO Seminar Speaker Series. Feb 5, 2020, Northwestern University, Evanston, IL.

“How STS can improve data science” (invited talk). STS Lunch Seminar Series. Jan 27, 2020, Tufts University, Medford, MA.

“A hierarchy of limitations in machine learning” (invited talk). Dec 3, 2019, Microsoft Research New England, Cambridge, MA.

“Statistics and machine learning: Foundations, limitations, and ethics” (invited talk). Colby College Department of Mathematics and Statistics, Colloquium Fall 2019. Oct 7, 2019, Colby College, Waterville, ME.

“Three open problems for historians of AI.” Towards a History of Artificial Intelligence. May 24, 2019, Columbia University, New York, NY.

“Interpretability is a red herring: Grappling with ‘prediction policy problems.’ 17th Annual Information Ethics Roundtable: Justice and Fairness in Data Use and Machine Learning. Apr 5, 2019, Northeastern University, Boston, MA.

“What can AI do with copyrighted data?” (invited talk). Bracing for Impact – The Artificial Intelligence Challenge: A Roadmap for AI Governance in Canada. Part II: Data, Policy & Innovation. IP Osgoode, Osgoode Hall Law School, York University. Mar 21, 2019, Toronto Reference Library, Toronto, Canada.

“The ethical implications of technical limitations” (invited talk). Fairness, Accountability & Transparency/Asia. Digital Asia Hub and ACM/FAT*. Jan 12, 2019, Shun Hing College, University of Hong Kong, Hong Kong.

“Machine learning for social scientists.” Fairness, Accountability & Transparency/Asia. Digital Asia Hub and ACM/FAT*. Jan 11, 2019, Shun Hing College, University of Hong Kong, Hong Kong.

“’AI’ is a lie: Getting to the real issues.” AGTech Forum, Berkman Klein Center for Internet & Society at Harvard University. Dec 13, 2018, Cambridge, MA.

“Theorizing sensors for social network research.” Computational Social Science Institute, UMass Amherst. Dec 7, 2018, Amherst, MA.

“What everyone needs to know about ‘prediction’ in machine learning.” Leverhulme Centre for the Future of Intelligence, University of Cambridge. Dec 3, 2018, Cambridge, UK.

“Anxiety, crisis, and a computational future for journalism.” Philip Merrill College of Journalism / College of Information Studies, University of Maryland. Nov 27, 2018, College Park, MD.

“Networks, yeah! The representation of relations.” Data & Donuts, digital HKS, Harvard Kennedy School. Nov 2, 2018, Cambridge, MA.

“Demystifying AI: Terms of disservice.” AI Working Group, Berkman Klein Center for Internet & Society. Oct 28, 2018, Cambridge, MA.

“Surprising aspects of ‘prediction’ in data science.” 0213eight, Harvard Alumni Association. Oct 13, 2018, Cambridge, MA.

“From the forest to the swamp: Modeling vs. implementation in data science.” Techtopia @ Harvard University. Oct 2, 2018, Cambridge, MA.

Thesis defense: “Bias and beyond in digital trace data.” Institute for Software Research, School of Computer Science, Carnegie Mellon University. Aug 9, 2018, Pittsburgh, PA.

“Friendship and proximity in a fraternity cohort with mobile phone sensors.” XXXVIII Sunbelt Conference of the International Network for Social Network Analysis. Modeling network dynamics (ses15.05). Jul 1, 2018, Utrecht, Netherlands.

“A critical introduction to statistics and machine learning.” Cascais Data Science for Social Good Europe Fellowship, Nova School of Business and Economics, Universidade NOVA de Lisboa. Aug 15, 2017, Lisbon, Portugal.

“A social scientist’s guide to network statistics.” Guest lecture in 70/73-449: Social, Economic and Information Networks, Fall 2016 (Instructor: Dr. Katharine Anderson). Undergraduate Economics, Carnegie Mellon University. Nov 10, 2016, Pittsburgh, PA.

“Bias busters @ university workshop: A Carnegie Mellon/Google collaboration to address unconscious bias.” With Carol Frieze (Carnegie Mellon University, School of Computer Science), Gerry Katilius (Google Pittsburgh), and Diana Marculescu (Carnegie Mellon University, College of Engineering). 2016 ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia 2016). Sep 15, 2016, Austin, TX.

“Platform effects in social media networks.” 2nd Annual International Conference on Computational Social Science (IC2S2). Social Networks 1. Jun 24, 2016, Evanston, Illinois.

“Bias busting @ university workshop – A Carnegie Mellon/Google collaboration to address unconscious bias.” With Carol Frieze (Carnegie Mellon University, School of Computer Science), Gerry Katilius (Google Pittsburgh), and Diana Marculescu (Carnegie Mellon University, College of Engineering). Women in Engineering ProActive Network Change Leader Forum (WEPAN 2016). Jun 15, 2016, Broomfield, CO.

“Identifying platform effects in social media data.” Tenth International AAAI Conference on Web and Social Media (ICWSM-16). Session I: Biases and Inequalities. May 18, 2016, Cologne, Germany.

“Social media data and computational models of mobility: A review for demography.” 2016 ICWSM Workshop on Social Media and Demographic Research (ICWSM-16 SMDR). May 17, 2016, Cologne, Germany.

“Ethical and policy issues in predictive modeling.” Guest lecture in 08-200/08-630/19-211: Ethics and Policy Issues in Computing, Spring 2016 (Instructor: Dr. James Herbsleb). School of Computer Science, Carnegie Mellon University. Mar 1, 2016, Pittsburgh, PA.

“Platform effects in social media networks.” XXXVI Sunbelt Conference of the International Network for Social Network Analysis. Social Media Networks: Challenges and Solutions (Sunday AM2). Apr 10, 2016, Newport Beach, California.

“Population bias in geotagged tweets.” 2015 ICWSM Workshop on Standards and Practices in Social Media Research (ICWSM-15 SPSM). Ninth International AAAI Conference on Web and Social Media (ICWSM-15). May 26, 2015, Oxford, UK.

“Inferring social networks from sensor data.” XXXIV Sunbelt Conference of the International Network for Social Network Analysis. Network Data Collection (Saturday AM2). Feb 22, 2014, St Pete Beach, Florida.

ORGANIZING

Momin M. Malik, Katja Mayer, Hemank Lamba, and Claudia Müller-Brin (co-organizers). Workshop on critical data science. The 13th International Conference on Web and Social Media (ICWSM-19). Munich, Germany, Jun 11, 2019.

Logistics, communication, materials, and tabling for “Train the Trainer workshop,” by Bias Busters @ Carnegie Mellon University. Google Pittsburgh, Nov 1 – 2, 2016. Pittsburgh, PA.

VOLUNTEERING/COMMUNITY

Facilitator for Bias Busters @ CMU, 2015-2018Part of 3-person teams leading inclusivity programming for student/faculty/staff groups of 20-30. Led by Dr. Carol Frieze (director, SCS4ALL and Women@SCS), and created in collaboration with Google Pittsburgh.

Committee Service

Senior program committee, International Conference on Web and Social Media (ICWSM), 2020 – present.

Sponsorship chair, 14th International AAAI Conference on Web and Social Media (ICWSM-2020). Jun 8 – Jun 11, 2020. Atlanta, GA.

Steering committee, Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles (ABOUT ML). The Partnership on AI (PAI). 2019-2020.

Posters co-chair, 11th International ACM Web Science Conference 2019 (WebSci ’19). Jun 30 – Jul 3, 2019. Boston, MA.

Program committee, International Conference on Web and Social Media (ICWSM), 2018 – 2019.

Program committee, International World Wide Web Conference (WWW/TheWebConf) Web and Society track, 2018 – present.

Program committee, International Conference on Computational Social Science (IC2S2), 2017 – present.

Other participation

Leading thinker session on “Life in the Age of Algorithms.” Harvard Graduate School of Education. Nov 7, 2019, Cambridge, MA. Reported about in: Alison J. Head, Barbara Fister, and Margy MacMillan, (2020, January 15), Information literacy in the age of algorithms: Student experiences with news and information, and the need for change, Project Information Research Institute.

International Expert Workshop on Automated Decision-Making. Center for Information Technology, Society, and Law (ITSL), University of Zurich. Sep 12–14, 2019, Lavin, Switzerland.

Peer Review

Big Data & Society (SAGE Journals), 2020 – present.

Editorial Board member for special issue on “Critical Data and Algorithms Studies.” Frontiers in Big Data, Data Mining and Management (Frontiers Media S.A.), 2019.

Frontiers in Big Data, Data Mining and Management (Frontiers Media S.A.), 2019 – present.

EPJ Data Science (Springer), 2018 – present.

Digital Journalism (Taylor & Francis), 2016 – present.

Journal of Medical Internet Research (JMIR Publications), 2017 – 2018.

LANGUAGES

English. Spoken: Native. Written: Native.Urdu. Spoken: Fluent. Written: Beginner.Japanese. Spoken: Conversational. Written: Beginner.

Momin M. Malik

3 of 4

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PRESENTATIONS, continued

PUBLICATIONS, continued

Kathleen M. Carley, Momin Malik, Peter M. Landwehr, Jürgen Pfeffer, and Michael Kowalchuck. (2016). Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia. Safety Science, 90, 48-61.

Hemank Lamba, Momin M. Malik, and Jürgen Pfeffer. (2015). A tempest in a teacup? Analyzing firestorms on Twitter. In Proc. of the 2015 Conf. on Advances in Social Networks Analysis and Mining (ASONAM 2015), pp. 17-24. Best Student Paper Award.

Momin M. Malik, Hemank Lamba, Constantine Nakos, and Jürgen Pfeffer. (2015). Population bias in geotagged tweets. In Papers from the 2015 ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research (ICWSM-15 SPSM), pp. 18-27.

REPORTS

Io Flament, Cristina Lozano, and Momin M. Malik. (2017). Data-driven planning for sustainable tourism in Tuscany. Cascais, Portugal: Data Science for Social Good Europe.

Momin Malik, Sandra Cortesi, and Urs Gasser. (2013, October 18). The challenges of defining ‘news literacy’. Berkman Center Research Publication No. 2013-20.

Urs Gasser, Sandra Cortesi, Momin Malik, and Ashley Lee. (2012, February 16). Youth and digital media: From credibility to information quality. Berkman Center Research Publication No. 2012-1.

BLOGGING

“Can algorithms themselves be biased?” Medium, Berkman Klein Center Collection. Apr 24, 2019. https://link.medium.com/ULLHZJQL3Y.

TEACHING

“A critical introduction to machine learning.” 2019 ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia 2019). Sep 19, 2019, Marriott Marquis San Diego Marina, San Diego, CA.

“Everything you ever wanted to know about network statistics but were afraid to ask.” 3-hour tutorial. XXXIX Sunbelt Social Networks Conference of the International Network for Social Network Analysis (Sunbelt 2019). Jun 18, 2019, Montreal, Quebec.

Future Faculty Program (completed), Eberly Center for Teaching Excellence and Educational Innovation, Jan 2014 – Mar 2018Enrolled since first year of PhD. Two teaching feedback consultations. Nine seminars on topics like student motivation and engagement, discussion facilitation, lecture design and delivery, course and syllabus design, teaching effectiveness monitoring.

Teaching Assistant, Ethics and Policy Issues in Computing (Instructor: Dr. Jim Herbsleb), Spring 2016Graded weekly response papers and activity on online class forum. Gave a lecture overview of rhetoric and debate in preparation for assigned one-on-one debates. Provided template and gave design tutorial for scientific poster making. Helped students with course projects (scope, references) and posters. Guest lecture: “Ethical and policy issues in predictive modeling.”

Teaching Assistant, Introduction to Network Science (Instructor: Dr. Jürgen Pfeffer), Fall 2015Wrote four comprehensive solution sets to problems from Mark E. J. Newman’s Networks: An Introduction (OUP, 2010). Guest lecture tutorial on R and the igraph library for network analysis. Graded problem sets and tests.

PRESENTATIONS

“Ethics, and the limits of data and modeling” (invited talk). 13th Annual Analytics Day. Apr 24, 2020. Kennesaw State University, Kennesaw, GA.

“Critical technical practice revisited: Towards `analytic actors’ in data science” (invited talk). STS Circle. Mar 5, 2020. Program on Science, Technology & Society, Harvard Kennedy School, Cambridge, MA.

“Revisiting ‘all models are wrong’: Addressing limitations in big data, machine learning, and computational social science” (invited talk). Wednesdays@NICO Seminar Speaker Series. Feb 5, 2020, Northwestern University, Evanston, IL.

“How STS can improve data science” (invited talk). STS Lunch Seminar Series. Jan 27, 2020, Tufts University, Medford, MA.

“A hierarchy of limitations in machine learning” (invited talk). Dec 3, 2019, Microsoft Research New England, Cambridge, MA.

“Statistics and machine learning: Foundations, limitations, and ethics” (invited talk). Colby College Department of Mathematics and Statistics, Colloquium Fall 2019. Oct 7, 2019, Colby College, Waterville, ME.

“Three open problems for historians of AI.” Towards a History of Artificial Intelligence. May 24, 2019, Columbia University, New York, NY.

“Interpretability is a red herring: Grappling with ‘prediction policy problems.’ 17th Annual Information Ethics Roundtable: Justice and Fairness in Data Use and Machine Learning. Apr 5, 2019, Northeastern University, Boston, MA.

“What can AI do with copyrighted data?” (invited talk). Bracing for Impact – The Artificial Intelligence Challenge: A Roadmap for AI Governance in Canada. Part II: Data, Policy & Innovation. IP Osgoode, Osgoode Hall Law School, York University. Mar 21, 2019, Toronto Reference Library, Toronto, Canada.

“The ethical implications of technical limitations” (invited talk). Fairness, Accountability & Transparency/Asia. Digital Asia Hub and ACM/FAT*. Jan 12, 2019, Shun Hing College, University of Hong Kong, Hong Kong.

“Machine learning for social scientists.” Fairness, Accountability & Transparency/Asia. Digital Asia Hub and ACM/FAT*. Jan 11, 2019, Shun Hing College, University of Hong Kong, Hong Kong.

“’AI’ is a lie: Getting to the real issues.” AGTech Forum, Berkman Klein Center for Internet & Society at Harvard University. Dec 13, 2018, Cambridge, MA.

“Theorizing sensors for social network research.” Computational Social Science Institute, UMass Amherst. Dec 7, 2018, Amherst, MA.

“What everyone needs to know about ‘prediction’ in machine learning.” Leverhulme Centre for the Future of Intelligence, University of Cambridge. Dec 3, 2018, Cambridge, UK.

“Anxiety, crisis, and a computational future for journalism.” Philip Merrill College of Journalism / College of Information Studies, University of Maryland. Nov 27, 2018, College Park, MD.

“Networks, yeah! The representation of relations.” Data & Donuts, digital HKS, Harvard Kennedy School. Nov 2, 2018, Cambridge, MA.

“Demystifying AI: Terms of disservice.” AI Working Group, Berkman Klein Center for Internet & Society. Oct 28, 2018, Cambridge, MA.

“Surprising aspects of ‘prediction’ in data science.” 0213eight, Harvard Alumni Association. Oct 13, 2018, Cambridge, MA.

“From the forest to the swamp: Modeling vs. implementation in data science.” Techtopia @ Harvard University. Oct 2, 2018, Cambridge, MA.

Thesis defense: “Bias and beyond in digital trace data.” Institute for Software Research, School of Computer Science, Carnegie Mellon University. Aug 9, 2018, Pittsburgh, PA.

“Friendship and proximity in a fraternity cohort with mobile phone sensors.” XXXVIII Sunbelt Conference of the International Network for Social Network Analysis. Modeling network dynamics (ses15.05). Jul 1, 2018, Utrecht, Netherlands.

“A critical introduction to statistics and machine learning.” Cascais Data Science for Social Good Europe Fellowship, Nova School of Business and Economics, Universidade NOVA de Lisboa. Aug 15, 2017, Lisbon, Portugal.

“A social scientist’s guide to network statistics.” Guest lecture in 70/73-449: Social, Economic and Information Networks, Fall 2016 (Instructor: Dr. Katharine Anderson). Undergraduate Economics, Carnegie Mellon University. Nov 10, 2016, Pittsburgh, PA.

“Bias busters @ university workshop: A Carnegie Mellon/Google collaboration to address unconscious bias.” With Carol Frieze (Carnegie Mellon University, School of Computer Science), Gerry Katilius (Google Pittsburgh), and Diana Marculescu (Carnegie Mellon University, College of Engineering). 2016 ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia 2016). Sep 15, 2016, Austin, TX.

“Platform effects in social media networks.” 2nd Annual International Conference on Computational Social Science (IC2S2). Social Networks 1. Jun 24, 2016, Evanston, Illinois.

“Bias busting @ university workshop – A Carnegie Mellon/Google collaboration to address unconscious bias.” With Carol Frieze (Carnegie Mellon University, School of Computer Science), Gerry Katilius (Google Pittsburgh), and Diana Marculescu (Carnegie Mellon University, College of Engineering). Women in Engineering ProActive Network Change Leader Forum (WEPAN 2016). Jun 15, 2016, Broomfield, CO.

“Identifying platform effects in social media data.” Tenth International AAAI Conference on Web and Social Media (ICWSM-16). Session I: Biases and Inequalities. May 18, 2016, Cologne, Germany.

“Social media data and computational models of mobility: A review for demography.” 2016 ICWSM Workshop on Social Media and Demographic Research (ICWSM-16 SMDR). May 17, 2016, Cologne, Germany.

“Ethical and policy issues in predictive modeling.” Guest lecture in 08-200/08-630/19-211: Ethics and Policy Issues in Computing, Spring 2016 (Instructor: Dr. James Herbsleb). School of Computer Science, Carnegie Mellon University. Mar 1, 2016, Pittsburgh, PA.

“Platform effects in social media networks.” XXXVI Sunbelt Conference of the International Network for Social Network Analysis. Social Media Networks: Challenges and Solutions (Sunday AM2). Apr 10, 2016, Newport Beach, California.

“Population bias in geotagged tweets.” 2015 ICWSM Workshop on Standards and Practices in Social Media Research (ICWSM-15 SPSM). Ninth International AAAI Conference on Web and Social Media (ICWSM-15). May 26, 2015, Oxford, UK.

“Inferring social networks from sensor data.” XXXIV Sunbelt Conference of the International Network for Social Network Analysis. Network Data Collection (Saturday AM2). Feb 22, 2014, St Pete Beach, Florida.

ORGANIZING

Momin M. Malik, Katja Mayer, Hemank Lamba, and Claudia Müller-Brin (co-organizers). Workshop on critical data science. The 13th International Conference on Web and Social Media (ICWSM-19). Munich, Germany, Jun 11, 2019.

Logistics, communication, materials, and tabling for “Train the Trainer workshop,” by Bias Busters @ Carnegie Mellon University. Google Pittsburgh, Nov 1 – 2, 2016. Pittsburgh, PA.

VOLUNTEERING/COMMUNITY

Facilitator for Bias Busters @ CMU, 2015-2018Part of 3-person teams leading inclusivity programming for student/faculty/staff groups of 20-30. Led by Dr. Carol Frieze (director, SCS4ALL and Women@SCS), and created in collaboration with Google Pittsburgh.

Committee Service

Senior program committee, International Conference on Web and Social Media (ICWSM), 2020 – present.

Sponsorship chair, 14th International AAAI Conference on Web and Social Media (ICWSM-2020). Jun 8 – Jun 11, 2020. Atlanta, GA.

Steering committee, Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles (ABOUT ML). The Partnership on AI (PAI). 2019-2020.

Posters co-chair, 11th International ACM Web Science Conference 2019 (WebSci ’19). Jun 30 – Jul 3, 2019. Boston, MA.

Program committee, International Conference on Web and Social Media (ICWSM), 2018 – 2019.

Program committee, International World Wide Web Conference (WWW/TheWebConf) Web and Society track, 2018 – present.

Program committee, International Conference on Computational Social Science (IC2S2), 2017 – present.

Other participation

Leading thinker session on “Life in the Age of Algorithms.” Harvard Graduate School of Education. Nov 7, 2019, Cambridge, MA. Reported about in: Alison J. Head, Barbara Fister, and Margy MacMillan, (2020, January 15), Information literacy in the age of algorithms: Student experiences with news and information, and the need for change, Project Information Research Institute.

International Expert Workshop on Automated Decision-Making. Center for Information Technology, Society, and Law (ITSL), University of Zurich. Sep 12–14, 2019, Lavin, Switzerland.

Peer Review

Big Data & Society (SAGE Journals), 2020 – present.

Editorial Board member for special issue on “Critical Data and Algorithms Studies.” Frontiers in Big Data, Data Mining and Management (Frontiers Media S.A.), 2019.

Frontiers in Big Data, Data Mining and Management (Frontiers Media S.A.), 2019 – present.

EPJ Data Science (Springer), 2018 – present.

Digital Journalism (Taylor & Francis), 2016 – present.

Journal of Medical Internet Research (JMIR Publications), 2017 – 2018.

LANGUAGES

English. Spoken: Native. Written: Native.Urdu. Spoken: Fluent. Written: Beginner.Japanese. Spoken: Conversational. Written: Beginner.

Momin M. Malik 4 of 4

SKILLS

igraphR Python Postgres/SQL Gephi Pajek Photoshop Illustrator InDesignscikitlearn MATLAB

PRESENTATIONS, continued